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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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to climate change) under the supervision of Dr. Ashley Shade in the “Bacterial Efflux and Environmental Resistance” team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5557-BEABIG-045
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with experimental groups that will study a physical realization of the qubit will be part of the project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5798-FABPIS-015/Candidater.aspx
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Description Probing neural representations of speech, in parallel with experimental phonetic analysis of the same data (collected in the field); placing the results in the context of linguistic typology. In
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to the understanding of physical mechanisms underlying these complex plasmas. The laboratory team has extensive experience in both experimental and modeling of this type of plasmas. Thus the candidate will have existing
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analytical and bioinformatics tools to analyse and interpret data - To establish workflows for the collection and analysis of samples, human stem-cell-derived brain organoids, and to develop experimental
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periods from the 4th millennium to the end of the 1st millennium BCE; • Contribute to the project's experimental axis in collaboration with ceramists, experimental archaeologists and ethnoarchaeologists
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analytical and bioinformatics tools to analyse and interpret data To establish workflows for the collection and analysis of samples, human stem-cell-derived brain organoids, and to develop experimental
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gas analysis, a GC/MS, and an HPLC/MS. DFT calculations will be performed using annual allocations on national high-performance computing centers. More details here: https://iramis.cea.fr/en/nimbe/lcmce
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is embedded in the framework of a funded ANR research project, ensuring a structured research program, access to experimental platforms, and a stimulating collaborative environment. The PhD student